Retrieval-Augmented Generation. It is a method that combines the strengths of retrieval-based models and generative models to improve the performance and accuracy of AI systems, particularly in natural language processing tasks. How RAG Works: Applications: RAG models help in grounding the limitations of generative AI and removing the hallucinations from the responses. Why We Needed…